Monitoring Social Distancing and Crowd Through Camera for Preventing Reducing COVID Spread

Project Code :TEMBMA3375

Objective

The main objective of this project is to detect whether crowd is maintaining social distance or not through Camera

Abstract

Social distancing is of key importance during the current pandemic. It helps limit the spread of covid by observing distance between disease spreading individuals. Now it is not possible to station a person 24×7 at each queue to monitor social distancing violations. Banks, Public Offices, Malls, Schools, Theatres etc. usually see long queues for hours every day. To ensure social distancing in queues we hereby design a social distancing monitoring system.

This project enables an automation of crowd detection and social distance alert using camera interfaced with Python.

Keywords: Social Distancing, Crowd Detection, Python.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware Requirements:

  • Camera
  • Speaker


Software Requirements:

  • Python


Learning Outcomes

  • Setting up and Installation procedures for Python3 IDLE and Arduino IDE.
  • Commands in Python.
  • Basic coding in Python.
  • About Project Development Life Cycle:
    • Planning and Requirement Gathering( software’s, Tools, Hardware components, etc.,)
    • Schematic preparation 
    • Code development and debugging
    • Hardware development and debugging
    • Development of the Project and  Output testing
  • Practical exposure to:
    • Hardware and software tools. ,
    • Solution providing for real time problems,
    • Working with team/ individual,
    • Work on Creative ideas.
  • Project development Skills
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

Demo Video

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